Search results for 'Implicit Knowledge' (try it on Scholar)

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  1. Arthur S. Reber (1993). Implicit Learning and Tacit Knowledge: An Essay on the Cognitive Unconscious. Oxford University Press.score: 75.0
    In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" (...)
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  2. Cheng-Hung Tsai (2003). Dummett's Notion of Implicit Knowledge. Philosophical Writings 24:17-35.score: 60.0
    In this paper I evaluate Michael Dummett’s notion of implicit knowledge by examining his answers to these two questions: (1) Why should we ascribe knowledge of a meaning-theory of a language to a language-user, and why the mode of this knowledge is implicit, but not pure theoretical, pure practical, or unconscious in a Chomskian sense? (2) How could a meaning-theory, which is known implicitly, function as a rule to be followed by the language-user? To answer (...)
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  3. Josef Perner & Zoltan Dienes (1999). Deconstructing RTK: How to Explicate a Theory of Implicit Knowledge. Behavioral and Brain Sciences 22 (5):790-801.score: 60.0
    In this response, we start from first principles, building up our theory to show more precisely what assumptions we do and do not make about the representational nature of implicit and explicit knowledge (in contrast to the target article, where we started our exposition with a description of a fully fledged representational theory of knowledge (RTK). Along the way, we indicate how our analysis does not rely on linguistic representations but it implies that implicit knowledge (...)
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  4. John R. Vokey & Philip A. Higham (1999). Implicit Knowledge as Automatic, Latent Knowledge. Behavioral and Brain Sciences 22 (5):787-788.score: 60.0
    Implicit knowledge is perhaps better understood as latent knowledge so that it is readily apparent that it contrasts with explicit knowledge in terms of the form of the knowledge representation, rather than by definition in terms of consciousness or awareness. We argue that as a practical matter any definition of the distinction between implicit and explicit knowledge further involves the notion of control.
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  5. Susan Goldin-Meadow & Martha Wagner Alibali (1999). Does the Hand Reflect Implicit Knowledge? Yes and No. Behavioral and Brain Sciences 22 (5):766-767.score: 57.0
    Gesture does not have a fixed position in the Dienes & Perner framework. Its status depends on the way knowledge is expressed. Knowledge reflected in gesture can be fully implicit (neither factuality nor predication is explicit) if the goal is simply to move a pointing hand to a target. Knowledge reflected in gesture can be explicit (both factuality and predication are explicit) if the goal is to indicate an object. However, gesture is not restricted to these (...)
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  6. L. B. Sultanova (2012). Historical Dynamics of Implicit and Intuitive Elements of Mathematical Knowledge. Liberal Arts in Russia 1 (1):30--35.score: 54.0
    The article deals with historical dynamics of implicit and intuitive elements of mathematical knowledge. The author describes historical dynamics of implicit and intuitive elements and discloses a historical and evolutionary mechanism of building up mathematical knowledge. Each requirement to increase the level of theoretical rigor in mathematics is historically realized as a three-stage process. The first stage considers some general conditions of valid mathematical knowledge recognized by the mathematical community. The second one reveals the level (...)
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  7. David Kirsh (2009). Knowledge, Implicit Vs Explicit. In T. Bayne, A. Cleeremans & P. Wilken (eds.), The Oxford Companion to Consciousness. Cambridge.score: 51.0
    In the scientific study of mind a distinction is drawn between explicit knowledgeknowledge that can be elicited from a subject by suitable inquiry or prompting, can be brought to consciousness, and externally expressed in words–and implicit knowledgeknowledge that cannot be elicited, cannot be made directly conscious, and cannot be articulated. Michael Polanyi (1967) argued that we usually ‘know more than we can say’. The part we can articulate is explicitly known; the part we cannot is (...)
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  8. Jonathan Sutton (2001). The Contingent a Priori and Implicit Knowledge. Philosophy and Phenomenological Research 63 (2):251-277.score: 51.0
    By introducing a name 'one meter' and stipulating that it refers to the length of stick S, the stipulator appears to be in a position to gain immediate (and arguably a priori) knowledge of a mind- and language-independent fact-the fact that the length of stick S is one meter. It appears that other users of the name can gain this knowledge only through empirical enquiry. I argue that this presents a paradox. After clarifying the nature of the paradox, (...)
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  9. David Kirsh (2009). Knowledge, Explicit Vs Implicit. Oxford Companion to Consciousness:397-402.score: 51.0
    In the scientific study of mind a distinction is drawn between explicit knowledgeknowledge that can be elicited from a subject by suitable inquiry or prompting, can be brought to consciousness, and externally expressed in words—and implicit knowledgeknowledge that cannot be elicited, cannot be made directly conscious, and can- not be articulated. Michael Polanyi (1967) argued that we usually ‘know more than we can say’. The part we can articulate is explicitly known; the part we (...)
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  10. James A. Hampton (1999). Implicit and Explicit Knowledge: One Representational Medium or Many? Behavioral and Brain Sciences 22 (5):769-770.score: 51.0
    In Dienes & Perner's analysis, implicitly represented knowledge differs from explicitly represented knowledge only in the attribution of properties to specific events and to self-awareness of the knower. This commentary questions whether implicit knowledge should be thought of as being represented in the same conceptual vocabulary; rather, it may involve a quite different form of representation.
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  11. Alexis Shotwell (2011). Knowing Otherwise: Race, Gender, and Implicit Understanding. Penn State.score: 51.0
    "Draws on philosophers, political theorists, activists, and poets to explain how unspoken and unspeakable knowledge is important to racial and gender formation; offers a usable conception of implicit understanding"--Provided by publishers.
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  12. Andrea Pozzali (2007). Tacit Knowledge, Implicit Learning and Scientific Reasoning. Mind and Society 7 (2):227-237.score: 48.0
    The concept of tacit knowledge is widely used in social sciences to refer to all those knowledge that cannot be codified and have to be transferred by personal contacts. All this literature has been affected by two kind of biases : (1) the interest has been focused more on the result (tacit knowledge) than on the process (implicit learning); (2) tacit knowledge has been somehow reduced to physical skills or know-how; other possible forms of tacit (...)
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  13. Ingar Brinck (1999). Nonconceptual Content and the Distinction Between Implicit and Explicit Knowledge. Behavioral and Brain Sciences 22 (5):760-761.score: 48.0
    The notion of nonconceptual content in Dienes & Perner's theory is examined. A subject may be in a state with nonconceptual content without having the concepts that would be used to describe the state. Nonconceptual content does not seem to be a clear-cut case of either implicit or explicit knowledge. It underlies a kind of practical knowledge, which is not reducible to procedural knowledge, but is accessible to the subject and under voluntary control.
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  14. Robert F. Bornstein (1999). Unconscious Motivation and Phenomenal Knowledge: Toward a Comprehensive Theory of Implicit Mental States. Behavioral and Brain Sciences 22 (5):758-758.score: 48.0
    A comprehensive theory of implicit and explicit knowledge must explain phenomenal knowledge (e.g., knowledge regarding one's affective and motivational states), as well as propositional (i.e., “fact”-based) knowledge. Findings from several research areas (i.e., the subliminal mere exposure effect, artificial grammar learning, implicit and self-attributed dependency needs) are used to illustrate the importance of both phenomenal and propositional knowledge for a unified theory of implicit and explicit mental states.
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  15. Nicolas Georgieff & Yves Rossetti (1999). How Does Implicit and Explicit Knowledge Fit in the Consciousness of Action? Behavioral and Brain Sciences 22 (5):765-766.score: 48.0
    Dienes & Perner's (D&P's) target articles proposes an analysis of explicit knowledge based on a progressive transformation of implicit into explicit products, applying this gradient to different aspects of knowledge that can be represented. The goal is to integrate a philosophical concept of knowledge with relevant psychophysical and neuropsychological data. D&P seem to fill an impressive portion of the gap between these two areas. We focus on two examples where a full synthesis of theoretical and empirical (...)
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  16. Neil W. Mulligan (1999). Applying a Theory of Implicit and Explicit Knowledge to Memory Research. Behavioral and Brain Sciences 22 (5):775-776.score: 48.0
    This commentary discusses how Dienes & Perner's theory of implicit and explicit knowledge applies to memory research. As currently formulated, their theory does seem to account simultaneously for population dissociations and dissociations between conceptual and perceptual priming tasks. In addition, the specification of four distinct memorial states (correlated with different recognition test responses) faces important methodological challenges.
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  17. Martha Wagner Alibali & Kenneth R. Koedinger (1999). The Developmental Progression From Implicit to Explicit Knowledge: A Computational Approach. Behavioral and Brain Sciences 22 (5):755-756.score: 48.0
    Dienes & Perner (D&P) argue that nondeclarative knowledge can take multiple forms. We provide empirical support for this from two related lines of research about the development of mathematical reasoning. We then describe how different forms of procedural and declarative knowledge can be effectively modeled in Anderson's ACT-R theory, contrasting this computational approach with D&P's logical approach. The computational approach suggests that the commonly observed developmental progression from more implicit to more explicit knowledge can be viewed (...)
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  18. Tillmann Vierkant (2012). Self Knowledge and Knowing Other Minds: The Implicit / Explicit Distinction as a Tool in Understanding Theory of Mind. British Journal of Developmental Psychology 30 (1):141-155.score: 48.0
    Holding content explicitly requires a form of self knowledge. But what does the relevant self knowledge look like? Using theory of mind as an example, this paper argues that the correct answer to this question will have to take into account the crucial role of language based deliberation, but warns against the standard assumption that explicitness is necessary for ascribing awareness. It argues in line with Bayne that intentional action is at least an equally valid criterion for awareness. (...)
     
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  19. Theodore Bach (2012). Analogical Cognition: Applications in Epistemology and the Philosophy of Mind and Language. Philosophy Compass 7 (5):348-360.score: 45.0
    Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay is to (...)
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  20. Ben Baker (2012). Boghossian's Implicit Definition Template. In Piotr Stalmaszczyk (ed.), Philosophical and Formal Approaches to Linguistic Analysis. Ontos-Verlag.score: 45.0
    In Boghossian's 1997 paper, 'Analyticity' he presented an account of a prioriknowledge of basic logical principles as available by inference from knowledge of their role in determining the meaning of the logical constants by implicit definitiontogether with knowledge of the meanings so-determined that we possess through ourprivileged access to meaning. Some commentators (e.g. BonJour (1998), Glüer (2003),Jenkins (2008)) have objected that if the thesis of implicit definition on which he relieswere true, knowledge of the meaning (...)
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  21. Daniel L. Schacter (1990). Toward a Cognitive Neuropsychology of Awareness: Implicit Knowledge and Anosognosia. Journal of Clinical and Experimental Neuropsychology 12:155-78.score: 45.0
  22. Martin Davies (2001). Explicit and Implicit Knowledge: Philosophical Aspects. In N. J. Smelser & P. B. Baltes (eds.), International Encyclopedia of the Social and Behavioral Sciences. Amsterdam: Elsevier Science Ltd.score: 45.0
    from the fact that the subject reacts faster to those words than to words that were not on the list. The subject.
     
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  23. Björn Vickhoff & Helge Malmgren, Why Does Music Move Us? Philosophical Communications.score: 45.0
    The communication of emotion in music has with few exceptions, as L. B. Meyer´s Emotion and Meaning in Music (1956) and the contour theory (Kivy 1989, 2002), focused on music structure as representations of emotions. This implies a semiotic approach - the assumption that music is a kind of language that could be read and decoded. Such an approach is largely restricted to the conscious level of knowing, understanding and communication. We suggest an understanding of music and emotion based on (...)
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  24. Nick Reed, Peter McLeod & Zoltan Dienes (2010). Implicit Knowledge and Motor Skill: What People Who Know How to Catch Don't Know. Consciousness and Cognition 19 (1):63-76.score: 45.0
  25. Jonathan Supon (2001). The Contingent a Priori and Implicit Knowledge. Philosophy and Phenomenological Research 63 (2):251–277.score: 45.0
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  26. Daniel L. Schacter (1992). Implicit Knowledge: New Perspectives on Unconscious Processes. Proceedings of the National Academy of Sciences Usa 89:11113-17.score: 45.0
  27. Zoltán Dienes, Ryan B. Scott & Anil K. Seth (2010). Subjective Measures of Implicit Knowledge That Go Beyond Confidence: Reply to Overgaard Et Al.☆. Consciousness and Cognition 19 (2):685-686.score: 45.0
  28. Michael E. Gorman (1999). Implicit Knowledge in Engineering Judgment and Scientific Reasoning. Behavioral and Brain Sciences 22 (5):767-768.score: 45.0
    Dienes & Perner's theoretical framework should be applicable to two related areas: technological innovation and the psychology of scientific reasoning. For the former, this commentary focuses on the example of nuclear weapon design, and on the decision to launch the space shuttle Challenger. For the latter, this commentary focuses on Klayman and Ha's positive test heuristic and the invention of the telephone.
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  29. Josef Perner (1996). Simulation as Explicitation of Predication-Implicit Knowledge About the Mind: Arguments for a Simulation-Theory Mix. In Peter Carruthers & Peter K. Smith (eds.), Theories of Theories of Mind. Cambridge University Press.score: 45.0
     
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  30. Luis M. Augusto (2010). Unconscious Knowledge: A Survey. Advances in Cognitive Psychology 6:116-141.score: 42.0
    The concept of unconscious knowledge is fundamental for an understanding of human thought processes and mentation in general; however, the psychological community at large is not familiar with it. This paper offers a survey of the main psychological research currently being carried out into cognitive processes, and examines pathways that can be integrated into a discipline of unconscious knowledge. It shows that the field has already a defined history and discusses some of the features that all kinds of (...)
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  31. Jan de Houwer (2006). Using the Implicit Association Test Does Not Rule Out an Impact of Conscious Propositional Knowledge on Evaluative Conditioning. Learning and Motivation 37 (2):176-187.score: 42.0
  32. Edward Merrillb & Todd Petersonb, From Implicit Skills to Explicit Knowledge: A Bottom-Up Model of Skill Learning.score: 39.0
    This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), with (...)
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  33. Georges Rey (1998). What Implicit Conceptions Are Unlikely to Do. Philosophical Issues 9:93-104.score: 39.0
  34. Diane Poulin-Dubois & David H. Rakison (1999). A Developmental Theory of Implicit and Explicit Knowledge? Behavioral and Brain Sciences 22 (5):782-782.score: 39.0
    Early childhood is characterized by many cognitive developmentalists as a period of considerable change with respect to representational format. Dienes & Perner present a potentially viable theory for the stages involved in the increasingly explicit representation of knowledge. However, in our view they fail to map their multi-level system of explicitness onto cognitive developmental changes that occur in the first years of life. Specifically, we question the theory's heuristic value when applied to the development of early mind reading and (...)
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  35. Ton Baars (2011). Experiential Science; Towards an Integration of Implicit and Reflected Practitioner-Expert Knowledge in the Scientific Development of Organic Farming. Journal of Agricultural and Environmental Ethics 24 (6):601-628.score: 39.0
    For further development of organic agriculture, it will become increasingly essential to integrate experienced innovative practitioners in research projects. The characteristics of this process of co-learning have been transformed into a research approach, theoretically conceptualized as “experiential science” (Baars 2007 , Baars and Baars 2007 ). The approach integrates social sciences, natural sciences, and human sciences. It is derived from action research and belongs to the wider field of transdiscliplinary research. In a dialogue-based culture of equality and mutual exchange the (...)
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  36. Zoltán Dienes & Josef Perner (1999). A Theory of Implicit and Explicit Knowledge. Behavioral And Brain Sciences 22 (5):735-808.score: 36.0
  37. Arthur S. Reber (1989). Implicit Learning and Tacit Knowledge. Journal of Experimental Psychology 118:219-35.score: 36.0
  38. Paul Horwich (1997). Implicit Definition, Analytic Truth, and Aprior Knowledge. Noûs 31 (4):423-440.score: 36.0
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  39. Hilde Haider, Alexandra Eichler & Thorsten Lange (2011). An Old Problem: How Can We Distinguish Between Conscious and Unconscious Knowledge Acquired in an Implicit Learning Task? Consciousness and Cognition 20 (3):658-672.score: 36.0
  40. John Hawthorne (2000). Implicit Belief and A Priori Knowledge. Southern Journal of Philosophy 38 (S1):191-210.score: 36.0
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  41. Preston Stovall (2007). Hegel's Realism: The Implicit Metaphysics of Self-Knowledge. Review of Metaphysics 61 (1):81-117.score: 36.0
  42. Robin Jeshion (2000). Implicit Belief? A Priori Knowledge? Southern Journal of Philosophy 38 (S1):211-216.score: 36.0
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  43. Andreas Kemmerling, Comments on Paul Horwich's "On the Alleged Normative Import of Implicit Definitions" (Workshop Implicit Definitions and A Priori Knowledge, GAP 6, Berlin, September 2006). [REVIEW]score: 36.0
    Let R be an epistemic rule of the simplest type: "Accept sentence s!" Assume that R is a basic rule we actually follow: Our accepting the sentence cannot be explained by our following more fundamental rules of sentence-acceptance. Assume furthermore that we feel rationally obliged to follow R; that is, we all agree on the correctness of the epistemic norm N which says: We ought to accept s.
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  44. Carmen E. Westerberg & Chad J. Marsolek (1999). Questioning Explicit Properties of Implicit Individuals in Knowledge Representation. Behavioral and Brain Sciences 22 (5):788-789.score: 36.0
    Dienes & Perner argue that the explicit representation of an individual to which a property is attributed requires explicit representation of the attributed property. The reasons for this conclusion are similar to the reasons why another of their conclusions may be considered suspect: A property may be explicit without an explicit representation of an individual or the predication of the property to an individual. We question the latter conclusion and draw connections to neurophysiological and cognitive evidence.
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  45. A. Neal & B. Hesketh (1997). Episodic Knowledge and Implicit Learning. Psychonomic Bulletin and Review 4:24-37.score: 36.0
  46. Pierre Perruchet & C. Pacteau (1990). Synthetic Grammar Learning: Implicit Rule Abstraction or Explicit Fragmentary Knowledge. Journal of Experimental Psychology 119:264-75.score: 36.0
  47. A. Neal & B. Hesketh (1997). Future Directions for Implicit Learning: Toward a Clarification of Issues Associated with Knowledge Representation and Consciousness. Psychonomic Bulletin and Review 4:73-78.score: 36.0
  48. Daniel L. Schacter, M. P. McAndrews & Morris Moscovitch (1986). Access to Consciousness: Dissociations Between Implicit and Explicit Knowledge in Neuropsychological Syndromes. In Lawrence Weiskrantz (ed.), Thought Without Language. Oxford University Press.score: 36.0
  49. Zoltán Dienes & Ryan Scott (2005). Measuring Unconscious Knowledge: Distinguishing Structural Knowledge and Judgment Knowledge. Psychological Research/Psychologische Forschung 69 (5):338-351.score: 33.0
  50. Zoltán Dienes & Josef Perner (2003). Unifying Consciousness with Explicit Knowledge. In Axel Cleeremans (ed.), The Unity of Consciousness. Oxford University Press.score: 33.0
  51. Sunbin Song, Howard Jr, James H. & Darlene V. Howard (2007). Implicit Probabilistic Sequence Learning is Independent of Explicit Awareness. Learning and Memory 14 (1-6):167-176.score: 33.0
  52. Bertrand Russell (1992/1988). Theory of Knowledge: The 1913 Manuscript. Routledge.score: 27.0
    First published in 1984 as part of The Collected Papers of Bertrand Russell , Theory of Knowledge represents an important addition to our knowledge of Russell's thought. In this work Russell attempts to flesh out the sketch implicit in The Problems of Philosophy . It was conceived by Russell as his next major project after Principia Mathematica and was intended to provide the epistemological foundations for his work. Russell's subsequent difficulties in presenting his theory of knowledge, (...)
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  53. Boudewijn de Bruin (2008). Common Knowledge of Rationality in Extensive Games. Notre Dame Journal of Formal Logic 49 (3):261-280.score: 27.0
    We develop a logical system that captures two different interpretations of what extensive games model, and we apply this to a long-standing debate in game theory between those who defend the claim that common knowledge of rationality leads to backward induction or subgame perfect (Nash) equilibria and those who reject this claim. We show that a defense of the claim à la Aumann (1995) rests on a conception of extensive game playing as a one-shot event in combination with a (...)
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  54. Jurgen Schroder (1998). Knowledge of Rules, Causal Systematicity, and the Language of Thought. Synthese 117 (3):313-330.score: 27.0
    Martin Davies' criterion for the knowledge of implicit rules, viz. the causal systematicity of cognitive processes, is first exposed. Then the inference from causal systematicity of a process to syntactic properties of the input states is examined. It is argued that Davies' notion of a syntactic property is too weak to bear the conclusion that causal systematicity implies a language of thought as far as the input states are concerned. Next, it is shown that Davies' criterion leads to (...)
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  55. Karl R. Popper (2009). The Two Fundamental Problems of the Theory of Knowledge. Routledge.score: 27.0
    A brief historical comment on scientific knowledge as Socratic ignorance -- Some critical comments on the text of this book, particularly on the theory of truth Exposition [1933] -- Problem of Induction (Experience and Hypothesis) -- Two Fundamental Problems of the Theory of Knowledge -- Formulation of the Problem -- The problem of induction and the problem of demarcation -- Deductivtsm and Inductivism -- Comments on how the solutions are reached and preliminary presentation of the solutions -- Rationalism (...)
     
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  56. Cheng-Hung Tsai (2010). Practical Knowledge of Language. Philosophia 38 (2).score: 24.0
    One of the main challenges in the philosophy of language is determining the form of knowledge of the rules of language. Michael Dummett has put forth the view that knowledge of the rules of language is a kind of implicit knowledge; some philosophers have mistakenly conceived of this type of knowledge as a kind of knowledge-that . In a recent paper in this journal, Patricia Hanna argues against Dummett’s knowledge-that view and proposes instead (...)
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  57. David Kirsh (2003). Implicit and Explicit Representation. In Implicit and Explicit Representation.score: 24.0
    The degree to which information is encoded explicitly in a representation is related to the computational cost of recovering or using the information. Knowledge that is implicit in a system need not be represented at all, even implicitly, if the cost of recovering it is prohibitive.
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  58. Ron Sun, The Interaction of Explicit and Implicit Learning: An Integrated Model.score: 24.0
    This paper explicates the interaction between the implicit and explicit learning processes in skill acquisition, contrary to the common tendency in the literature of studying each type of learning in isolation. It highlights the interaction between the two types of processes and its various effects on learning, including the synergy effect. This work advocates an integrated model of skill learning that takes into account both implicit and explicit processes; moreover, it embodies a bottom-up approach (first learning implicit (...)
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  59. Diego Alonso, Luis J. Fuentes & Bernhard Hommel (2006). Unconscious Symmetrical Inferences: A Role of Consciousness in Event Integration. Consciousness and Cognition 15 (2):386-396.score: 24.0
  60. Bernhard Weiss (2003). Knowledge of Meaning. Proceedings of the Aristotelian Society 104 (1):75–92.score: 24.0
    The paper is sympathetic to the idea that speakers have implicit knowledge of the semantics of sub-sentential elements of language, loosely, of words. Implicit knowledge is knowledge which the subject need not be capable of articulating yet which is a genuine propositional attitude and it is to be contrasted with tacit knowledge which refers to an information-bearing state which, however, is not a genuine propositional attitude. I begin by defending the implicit knowledge (...)
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  61. Ron Sun, The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.score: 24.0
    This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account both implicit and explicit processes. Moreover, they argue for a bottom-up approach (first learning implicit knowledge and then explicit knowledge) in the integrated model. (...)
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  62. Bernhard Weiss (2004). Knowledge of Meaning. Proceedings of the Aristotelian Society 104 (1):75 - 94.score: 24.0
    The paper is sympathetic to the idea that speakers have implicit knowledge of the semantics of sub-sentential elements of language, loosely, of words. Implicit knowledge is knowledge which the subject need not be capable of articulating yet which is a genuine propositional attitude and it is to be contrasted with tacit knowledge which refers to an information-bearing state which, however, is not a genuine propositional attitude. I begin by defending the implicit knowledge (...)
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  63. Axel Cleeremans, Fishing with the Wrong Nets: How the Implicit Slips Through the Representational Theory of Mind.score: 24.0
    Dienes and Perner’s theory is not a satisfactory theory of implicit knowledge because by endorsing the representational theory of knowledge, the authors also inadvertently accept that only explicit knowledge can be causally efficacious, and hence that implicit knowledge is an inert category. This conflation between causal efficacy, knowledge, and explicitness is made clear through the authors' strategy, which consists of attributing any observable effect to the existence of representations that are as minimally explicit (...)
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  64. Paul M. Pietroski & Susan J. Dwyer (1999). Knowledge by Ignoring. Behavioral and Brain Sciences 22 (5):781-781.score: 24.0
    Some cases of implicit knowledge involve representations of (implicitly) known propositions, but this is not the only important type of implicit knowledge. Chomskian linguistics suggests another model of how humans can know more than is accessible to consciousness. Innate capacities to focus on a small range of possibilities, thereby ignoring many others, need not be grounded by inner representations of any possibilities ignored. This model may apply to many domains where human cognition “fills a gap” between (...)
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  65. Paul Thagard (2006). How to Collaborate: Procedural Knowledge in the Cooperative Development of Science. Southern Journal of Philosophy 44 (S1):177-196.score: 24.0
    A philosopher once asked me: “Paul, how do you collaborate?” He was puzzled about how I came to have more than two dozen co-authors over the past 20 years. His puzzlement was natural for a philosopher, because co-authored articles and books are still rare in philosophy and the humanities, in contrast to science where most current research is collaborative. Unlike most philosophers, scientists know how to collaborate; this paper is about the nature of such procedural knowledge. I begin by (...)
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  66. Jill Boucher (1999). Time and the Implicit-Explicit Continuum. Behavioral and Brain Sciences 22 (5):758-759.score: 24.0
    Dienes & Perner's target article contains numerous but unsystematic references to the implicit or explicit knowledge of the temporal context of a known state of affairs such as may constitute the content of a propositional attitude. In this commentary, the forms of cognition that, according to D&P, require only implicit knowledge of time are contrasted with those for which explicit temporal knowledge is needed. It is suggested that the explicit representation of time may have been (...)
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  67. Gerard O'Brien & Jonathan Opie (1999). What's Really Doing the Work Here? Knowledge Representation or the Higher-Order Thought Theory of Consciousness? Behavioral and Brain Sciences 22 (5):778-779.score: 24.0
    Dienes & Perner offer us a theory of explicit and implicit knowledge that promises to systematise a large and diverse body of research in cognitive psychology. Their advertised strategy is to unpack this distinction in terms of explicit and implicit representation. But when one digs deeper one finds the “Higher-Order Thought” theory of consciousness doing much of the work. This reduces both the plausibility and usefulness of their account. We think their strategy is broadly correct, but that (...)
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  68. D. J. Bradley (2005). No Doomsday Argument Without Knowledge of Birth Rank: A Defense of Bostrom. Synthese 144 (1):91 - 100.score: 24.0
    The Doomsday Argument says we should increase our subjective probability that Doomsday will occur once we take into account how many humans have lived before us. One objection to this conclusion is that we should accept the Self-Indication Assumption (SIA): Given the fact that you exist, you should (other things equal) favor hypotheses according to which many observers exist over hypotheses on which few observers exist. Nick Bostrom argues that we should not accept the SIA, because it can be used (...)
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  69. Richard A. Carlson (1999). Implicit Representation, Mental States, and Mental Processes. Behavioral and Brain Sciences 22 (5):761-762.score: 24.0
    Dienes & Perner's target article constitutes a significant advance in thinking about implicit knowledge. However, it largely neglects processing details and thus the time scale of mental states realizing propositional attitudes. Considering real-time processing raises questions about the possible brevity of implicit representation, the nature of processes that generate explicit knowledge, and the points of view from which knowledge may be represented. Understanding the propositional attitude analysis in terms of momentary mental states points the way (...)
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  70. Gerard O'Brien & Jonathan Opie (1999). What's Doing the Work Here: Knowledge Representation or the HOT Theory? Behavioral and Brain Sciences 22 (5):778-9.score: 24.0
    Dienes and Perner offer us a theory of explicit and implicit knowledge that promises to systematise a large and diverse body of research in cognitive psychology. Their advertised strategy is to unpack this distinction in terms of explicit and implicit representation. But when one digs deeper one finds the HOT theory of consciousness doing much of the work. This reduces both the plausibility and usefulness of their account. We think their strategy is broadly correct, but that consensus (...)
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  71. Luis Jiménez & Axel Cleeremans (1999). Fishing with the Wrong Nets: How the Implicit Slips Through the Representational Theory of Mind. Behavioral and Brain Sciences 22 (5):771-771.score: 24.0
    Dienes & Perner's target article is not a satisfactory theory of implicit knowledge because in endorsing the representational theory of knowledge, the authors also inadvertently accept that only explicit knowledge can be causally efficacious, and hence that implicit knowledge is an inert category. This conflation between causal efficacy, knowledge, and explicitness is made clear through the authors' strategy, which consists of attributing any observable effect to the existence of representations that are as minimally (...)
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  72. Ted Ruffman (1999). Applying the Implicit-Explicit Distinction to Development in Children. Behavioral and Brain Sciences 22 (5):783-783.score: 24.0
    This commentary focuses on how Dienes & Perner's (D&P's) claims relate to aspects of development. First, I discuss recent research that supports D&P's claim that anticipatory looking in a false belief task is guided by implicit knowledge. Second, I argue that implicit knowledge may be based on exposure to regularities in the world as D&P argue, but equally, it may sometimes be based on theories that conflict with real world regularities. Third, I discuss Munakata et al.'s (...)
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  73. Yonatan Goshen-Gottstein (1999). The Functional Role of Representations Cannot Explain Basic Implicit Memory Phenomena. Behavioral and Brain Sciences 22 (5):768-769.score: 24.0
    The propositional account of explicit and implicit knowledge interprets cognitive differences between direct and indirect test performance as emerging from the elements in different hierarchical levels of the propositional representation that have been made explicit. The hierarchical nature of explicitness is challenged, however, on the basis of neuropsychological dissociations between direct and indirect tests of memory, as well as the stochastic independence that has been observed between these two types of tests. Furthermore, format specificity on indirect test of (...)
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  74. Bruce D. Homer & Jason T. Ramsay (1999). Making Implicit Explicit: The Role of Learning. Behavioral and Brain Sciences 22 (5):770-770.score: 24.0
    Three forms of implicit knowledge are presented (functional, structural, and procedural). These forms differ in the way they are made explicit and hence in how they are represented by the individual. We suggest that the framework presented by Dienes & Perner does not account for these differences.
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  75. Noël Laverny & Jérôme Lang (2005). From Knowledge-Based Programs to Graded Belief-Based Programs, Part I: On-Line Reasoning. Synthese 147 (2):277 - 321.score: 24.0
    Knowledge-based programs (KBPs) are a powerful notion for expressing action policies in which branching conditions refer to implicit knowledge and call for a deliberation task at execution time. However, branching conditions in KBPs cannot refer to possibly erroneous beliefs or to graded belief, such as “if my belief that φ holds is high then do some action α else perform some sensing action β”.
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  76. Greg Sax (2010). Having Know-How: Intellect, Action, and Recent Work on Ryle's Distinction Between Knowledge-How and Knowledge-That. Pacific Philosophical Quarterly 91 (4):507-530.score: 21.0
    Stanley and Williamson reject Ryle's knowing-how/knowing-that distinction charging that it obstructs our understanding of human action. Incorrectly interpreting the distinction to imply that knowledge-how is non-propositional, they object that Ryle's argument for it is unsound and linguistic theory contradicts it. I show that they (and their interlocutors) misconstrue the distinction and Ryle's argument. Consequently, their objections fail. On my reading, Ryle's distinction pertains to, not knowledge, but an explanatory gap between explicit and implicit content, and his argument (...)
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  77. Michael Wilby (2010). The Simplicity of Mutual Knowledge. Philosophical Explorations 13 (2):83-100.score: 21.0
    Mutual perceptual knowledge is a prevalent feature of our everyday lives, yet appears to be exceptionally difficult to characterise in an acceptable way. This paper argues for a renewed understanding of Stephen Schiffer’s iterative approach to mutual knowledge, according to which mutual knowledge requires an infinite number of overlapping, embedded mental states. It is argued that the charge of ‘psychological implausibility’ that normally accompanies discussion of this approach can be offset by identifying mutual knowledge, not with (...)
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  78. Kathrin Glüer (2003). Analyticity and Implicit Definition. Grazer Philosophische Studien 66 (1):37-60.score: 21.0
    Paul Boghossian advocates a version of the analytic theory of a priori knowledge. His defense of an "epistemic" notion of analyticity is based on an implicit definition account ofthe meaning of the logical constants. Boghossian underestimates the power of the classical Quinean criticisms, however; the challenge to substantiate the distinction between empirical and non-empirical sentences, as forcefully presented in Two Dogmas, still stands, and the regress from Truth by Convention still needs to be avoided. Here, Quine also showed (...)
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  79. Steven Gross, Knowledge of Meaning, Conscious and Unconscious. Meaning, Understanding and Knowledge (Vol 5: The Baltic International Yearbook of Cognition, Logic and Communication).score: 21.0
    This paper motivates two bases for ascribing propositional semantic knowledge (or something knowledgelike): first, because it’s necessary to rationalize linguistic action; and, second, because it’s part of an empirical theory that would explain various aspects of linguistic behavior. The semantic knowledge ascribed on these two bases seems to differ in content, epistemic status, and cognitive role. This raises the question: how are they related, if at all? The bulk of the paper addresses this question. It distinguishes a variety (...)
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  80. Thomas Kroedel (2012). Implicit Definition and the Application of Logic. Philosophical Studies 158 (1):131-148.score: 21.0
    The paper argues that the theory of Implicit Definition cannot give an account of knowledge of logical principles. According to this theory, the meanings of certain expressions are determined such that they make certain principles containing them true; this is supposed to explain our knowledge of the principles as derived from our knowledge of what the expressions mean. The paper argues that this explanation succeeds only if Implicit Definition can account for our understanding of the (...)
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  81. Luca Malatesti (2004). The Knowledge Argument. Dissertation, University of Stirlingscore: 21.0
    Frank Jackson’s knowledge argument is a very influential piece of reasoning that seeks to show that colour experiences constitute an insoluble problem for science. This argument is based on a thought experiment concerning Mary. She is a vision scientist who has complete scientific knowledge of colours and colour vision but has never had colour experiences. According to Jackson, upon seeing coloured objects, Mary acquires new knowledge that escapes her complete scientific knowledge. He concludes that there are (...)
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  82. John E. Stewart (2007). The Future Evolution of Consciousness. Journal of Consciousness Studies 14 (8):58-92.score: 21.0
    What is the potential for improvements in the functioning of consciousness? The paper addresses this issue using global workspace theory. According to this model, the prime function of consciousness is to develop novel adaptive responses. Consciousness does this by putting together new combinations of knowledge, skills and other disparate resources that are recruited from throughout the brain. The paper's search for potential improvements in consciousness is aided by studies of a developmental transition that enhances functioning in whichever domain it (...)
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  83. Arnaud Destrebecqz & Axel Cleeremans (2001). Can Sequence Learning Be Implicit? New Evidence with the Process Dissociation Procedure. Psychonomic Bulletin and Review 8 (2):343-350.score: 21.0
    Running head: Implicit sequence learning ABSTRACT Can we learn without awareness? Although this issue has been extensively explored through studies of implicit learning, there is currently no agreement about the extent to which knowledge can be acquired and projected onto performance in an unconscious way. The controversy, like that surrounding implicit memory, seems to be at least in part attributable to unquestioned acceptance of the unrealistic assumption that tasks are process-pure, that is, that a given task (...)
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  84. Axel Cleeremans, Arnaud Destrebecqz & Maud Boyer (1998). Implicit Learning: News From the Front. Trends in Cognitive Sciences 2 (10):406-416.score: 21.0
    69 Thompson-Schill, S.L. _et al. _(1997) Role of left inferior prefrontal cortex 59 Buckner, R.L. _et al. _(1996) Functional anatomic studies of memory in retrieval of semantic knowledge: a re-evaluation _Proc. Natl. Acad._ retrieval for auditory words and pictures _J. Neurosci. _16, 6219–6235 _Sci. U. S. A. _94, 14792–14797 60 Buckner, R.L. _et al. _(1995) Functional anatomical studies of explicit and 70 Baddeley, A. (1992) Working memory: the interface between memory implicit memory retrieval tasks _J. Neurosci. _15, 12–29 (...)
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  85. Giacomo Sillari (forthcoming). Common Knowledge and Convention. Topoi.score: 21.0
    This paper investigates the epistemic assumptions that David Lewis makes in his account of social conventions. In particular, I focus on the assumption that the agents have common knowledge of the convention to which they are parties. While evolutionary analyses show that the common knowledge assumption is unnecessary in certain classes of games, Lewis’ original account (and, more recently, Cubitt and Sugden’s reconstruction) stresses the importance of including it in the definition of convention. I discuss arguments pro et (...)
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  86. Stephen Downes (2008). An Introduction to Connective Knowledge. In Theo Hug (ed.), Media, Knowledge & Education - Exploring new Spaces, Relations and Dynamics in Digital Media Ecologies. Innsbruck University Press.score: 21.0
    This paper provides an overview of connective knowledge. It is intended to be an introduction, expressed as non-technically as possible.
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  87. Charles Kurzman (1994). Epistemology and the Sociology of Knowledge. Philosophy of the Social Sciences 24 (3):267-290.score: 21.0
    Epistemology, I will argue, is of crucial importance to the sociology of knowledge— not just by way of definition of the phenomenon under study, but also because approaches to the sociology of knowledge rely on too-often implicit epistemological stances. I will make this argument through a series of categorizations: first, I will classify the field of epistemology into its three main forms; second, I will classify the sociology of knowledge into epistemological categories; third, I will classify (...)
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  88. Niels A. Taatgen (1999). Implicit Versus Explicit: An ACT-R Learning Perspective. Behavioral and Brain Sciences 22 (5):785-786.score: 21.0
    Dienes & Perner propose a theory of implicit and explicit knowledge that is not entirely complete. It does not address many of the empirical issues, nor does it explain the difference between implicit and explicit learning. It does, however, provide a possible unified explanation, as opposed to the more binary theories like the systems and the processing theories of implicit and explicit memory. Furthermore, it is consistent with a theory in which implicit learning is viewed (...)
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  89. Kelly Becker (2012). Basic Knowledge and Easy Understanding. Acta Analytica 27 (2):145-161.score: 21.0
    Reliabilism is a theory that countenances basic knowledge, that is, knowledge from a reliable source, without requiring that the agent knows the source is reliable. Critics (especially Cohen 2002 ) have argued that such theories generate all-too-easy, intuitively implausible cases of higher-order knowledge based on inference from basic knowledge. For present purposes, the criticism might be recast as claiming that reliabilism implausibly generates cases of understanding from brute, basic knowledge. I argue that the easy (...) (or easy understanding) criticism rests on an implicit mischaracterization of the notion of a reliable process. Properly understood, reliable processes do not permit the transition from basic knowledge to understanding based on inference. (shrink)
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  90. Didier Dubois, Petr Hájek & Henri Prade (2000). Knowledge-Driven Versus Data-Driven Logics. Journal of Logic, Language and Information 9 (1):65--89.score: 21.0
    The starting point of this work is the gap between two distinct traditions in information engineering: knowledge representation and data-driven modelling. The first tradition emphasizes logic as a tool for representing beliefs held by an agent. The second tradition claims that the main source of knowledge is made of observed data, and generally does not use logic as a modelling tool. However, the emergence of fuzzy logic has blurred the boundaries between these two traditions by putting forward fuzzy (...)
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  91. Axel Cleeremans (1998). Implicit Learning. Trends in Cognitive Sciences 2 (10):406-416.score: 21.0
    Implicit learning is the process through which we become sensitive to certain regularities in the environment (1) in the absence of intention to learn about those regularities (2) in the absence of awareness that one is learning, and (3) in such a way that the resulting knowledge is difficult to express.
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  92. Keith E. Yandell (2005). Some Reflections on Religious Knowledge. Sophia 44 (1).score: 21.0
    The essay that follows considers two topics. After dealing with relevant preliminaries, it asks: (a) what differences are there in what must be done in order to tell whether there is any religious knowledge if an internalist evidentialist account of knowledge is true, from what must be done in order to tell whether there is any religious knowledge if an externalist reliabilist account of knowledge is true; and (b) does the best current externalist reliabilist account of (...)
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  93. Woosuk Park (2012). Friedman on Implicit Definition: In Search of the Hilbertian Heritage in Philosophy of Science. Erkenntnis 76 (3):427-442.score: 21.0
    Michael Friedman’s project both historically and systematically testifies to the importance of the relativized a priori. The importance of implicit definitions clearly emerges from Schlick’s General Theory of Knowledge . The main aim of this paper is to show the relationship between both and the relativized a priori through a detailed discussion of Friedman’s work. Succeeding with this will amount to a contribution to recent scholarship showing the importance of Hilbert for Logical Empiricism.
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  94. Axel Cleeremans, Computational Models of Implicit Learning.score: 21.0
    Implicit learning – broadly construed as learning without awareness – is a complex, multifaceted phenomenon that defies easy definition. Frensch (1998) listed as many as eleven definitions in an overview, a diversity that is undoubtedly symptomatic of the conceptual and methodological challenges that continue to pervade the field forty years after the term first appeared in the literature (Reber, 1967). According to Berry and Dienes (1993), learning is implicit when an individual acquires new information without intending to do (...)
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  95. Heinrich Wansing (1990). A General Possible Worlds Framework for Reasoning About Knowledge and Belief. Studia Logica 49 (4):523 - 539.score: 21.0
    In this paper non-normal worlds semantics is presented as a basic, general, and unifying approach to epistemic logic. The semantical framework of non-normal worlds is compared to the model theories of several logics for knowledge and belief that were recently developed in Artificial Intelligence (AI). It is shown that every model for implicit and explicit belief (Levesque), for awareness, general awareness, and local reasoning (Fagin and Halpern), and for awareness and principles (van der Hoek and Meyer) induces a (...)
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  96. Christian Lebiere & Dieter Wallach (1999). Implicit and Explicit Learning in a Hybrid Architecture of Cognition. Behavioral and Brain Sciences 22 (5):772-773.score: 21.0
    We present a theoretical account of implicit and explicit learning in terms of ACT-R, an integrated architecture of human cognition as a computational supplement to Dienes & Perner's conceptual analysis of knowledge. Explicit learning is explained in ACT-R by the acquisition of new symbolic knowledge, whereas implicit learning amounts to statistically adjusting subsymbolic quantities associated with that knowledge. We discuss the common foundation of a set of models that are able to explain data gathered in (...)
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  97. Eleni Ziori & Zoltán Dienes (2006). Subjective Measures of Unconscious Knowledge of Concepts. Mind and Society 5 (1):105-122.score: 21.0
    This paper considers different subjective measures of conscious and unconscious knowledge in a concept formation paradigm. In particular, free verbal reports are compared with two subjective measures, the zero-correlation and the guessing criteria, based on trial-by-trial confidence ratings (a type of on-line verbal report). Despite the fact that free verbal reports are frequently dismissed as being insensitive measures of conscious knowledge, a considerable bulk of research on implicit learning has traditionally relied on this measure of consciousness, because (...)
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  98. Jaap Kamps (2005). The Ubiquity of Background Knowledge. Poznan Studies in the Philosophy of the Sciences and the Humanities 84 (1):317-337.score: 21.0
    Scientific discourse leaves implicit a vast amount of knowledge, assumes that this background knowledge is taken into account – even taken for granted – and treated as undisputed. In particular, the terminology in the empirical sciences is treated as antecedently understood. The background knowledge surrounding a theory is usually assumed to be true or approximately true. This is in sharp contrast with logic, which explicitly ignores underlying presuppositions and assumes uninterpreted languages. We discuss the problems that (...)
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  99. Geir Overskeid (1999). What is Special About “Implicit” and “Explicit”? Behavioral and Brain Sciences 22 (5):780-780.score: 21.0
    Dienes & Perner present a very interesting analysis of two types of knowledge. It is not clear, however, that the words “implicit” and “explicit” are the best basis on which to build a theory of the two types of knowledge. One is also left uncertain as to whether this theory is the best way of ordering the greatest possible amount of relevant data in a way that yields the simplest account possible.
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  100. Michael Weinstock (2011). Knowledge-Telling and Knowledge-Transforming Arguments in Mock Jurors' Verdict Justifications. Thinking and Reasoning 17 (3):282 - 314.score: 21.0
    According to the ?story model? a juror constructs an implicit mental model of a story telling what happened as the basis for the verdict choice. But the explicit justification of a verdict choice could take the form of a story (knowledge telling) or the form of a relational (knowledge-transforming) argument structure that brings together diverse, non-chronologically related pieces of evidence. The study investigates whether people tend towards knowledge telling or knowledge transforming, and whether use of (...)
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